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PARKA

url
http://www.cs.umd.edu/projects/plus/Parka/parka.html

title_line
parallel knowledge representation system

abstract
PARKA is a frame-based knowledge representation system which
uses the massive parallelism of the Connection Machine (CM) to
perform certain inferences extremely rapidly. PARKA performs
property inheritance, set-theoretic inferences, and inferences on
partonomic relations. To date, the system has been implemented
both on the CM-2 and CM-5 massively parallel supercomputers
made by Thinking Machines Corporation.

contact
James Hendler <hendler@cs.umd.edu>


nhse-librarian@netlib.org